The graph represents a network of 6,874 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 08:25 UTC.
The tweets in the network were tweeted over the 2191-day, 12-hour, 37-minute period from Friday, 10 March 2017 at 12:22 UTC to Saturday, 11 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6874
Unique Edges : 3327
Edges With Duplicates : 10557
Total Edges : 13884
Number of Edge Types : 9
Replies to : 1350
Tweet : 1528
Retweet : 3634
MentionsInRetweet : 4265
MentionsInReplyTo : 2377
Quote : 195
Mentions : 385
MentionsInQuoteReply : 43
MentionsInQuote : 107
Self-Loops : 1789
Reciprocated Vertex Pair Ratio : 0.0230792138177487
Reciprocated Edge Ratio : 0.0451171590743705
Connected Components : 1499
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 2505
Maximum Edges in a Connected Component : 6215
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.544735
Graph Density : 0.000145433373037004
Modularity : 0.521515
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,874 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 08:25 UTC.
The tweets in the network were tweeted over the 2191-day, 12-hour, 37-minute period from Friday, 10 March 2017 at 12:22 UTC to Saturday, 11 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : COVID
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1158] covid,19 [256] covid,origins [200] house,voted [190] long,covid [164] origins,covid [153] voted,unanimously [150] director,national [146] national,intelligence [145] orígenes,covid [145] origins,bill Top Word Pairs in Tweet in G1:
[103] house,voted [102] voted,unanimously [76] relating,origins [76] declassify,intelligence [71] unanimously,declassify [68] #covid,accountability [68] intelligence,relating [68] origins,#covid [67] jim_jordan,house [63] against,covid Top Word Pairs in Tweet in G2:
[158] covid,19 [36] virus,baru [36] virus,virus [34] spring,covid [33] boosters,available [33] available,soon [33] announces,spring [33] 19,boosters [19] pandemi,covid [18] bermunculan,dari Top Word Pairs in Tweet in G3:
[138] covid,origins [117] origins,bill [90] earlier,week [90] communist,officials [90] officials,wrote [90] worked,covid [90] china,worked [90] bill,communist [90] wrote,office [90] office,earlier Top Word Pairs in Tweet in G4:
[163] covid,19 [141] 19,#chávezinmortal [132] ee,uu [130] orígenes,covid [130] rastreo,orígenes [130] política,rastreo [130] uu,detener [130] insta,nuevo [130] nuevo,ee [130] detener,manipulación Top Word Pairs in Tweet in G5:
[32] lieu,pending [32] fda,sued [32] claim,based [32] supreme,court [32] court,claim [32] based,lieu [32] news,pfizer [32] pending,criminal [32] york,supreme [32] pfizer,fda Top Word Pairs in Tweet in G6:
[49] covid,19 [25] henrion,caude [22] apprentis,sorciers [22] alexandra,henrion [21] livre,apprentis [18] ses,soignants [17] taux,létalité [17] non,vaccinés [16] létalité,covid [15] projet,loi Top Word Pairs in Tweet in G7:
[40] covid,one [32] behind,heart [32] cause,death [32] disease,cancer [32] death,behind [32] heart,disease [32] leading,cause [31] covid,3rd [31] 3rd,leading [31] cancer,covid Top Word Pairs in Tweet in G8:
[25] long,covid [22] covid,19 [8] 19,pandemic [7] months,much [7] chance,being [7] 19,874 [7] longer,still [7] pandemic,still [7] affected,months [7] way,high Top Word Pairs in Tweet in G9:
[44] covid,really [44] succumbed,hubris [44] regarding,dangers [44] hubris,regarding [44] never,succumbed [44] dangers,covid [44] ve,never [43] sethmacfarlane,ve [18] long,covid [10] stop,covid Top Word Pairs in Tweet in G10:
[33] tony,fauci [33] fauci,francis [32] bhattacharya,nbc [32] prof,jay [32] francis,collins [32] nbc,talking [32] controlling,science [32] science,covid [32] jay,bhattacharya [32] stanford,prof Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: